Browsing by Author "TSENG, DC"

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A SIMPLE VISION ALGORITHM FOR 3-D POSITION DETERMINATION USING A SINGLE CALIBRATION OBJECT
(1989)
CHEN, Z
;
TSENG, DC
;
LIN, JY
;
交大名義發表
;
資訊工程學系
COMPUTING LOCATION AND ORIENTATION OF POLYHEDRAL SURFACES USING A LASER-BASED VISION SYSTEM
(1991-12-01)
TSENG, DC
;
CHEN, Z
;
資訊工程學系
;
Department of Computer Science
A laser-based vision system for computing the location and orientation of 3-D polyhedral surfaces is proposed. In this system, an expanded laser beam Passes through a code plate marked with equally spaced vertical and horizontal lines and impinges on a polyhedral object to create a spatial-encoded image for analysis. Then, based on the vanishing points or the directly available line directions of the perceived grid lines on the polyhedral surface, the polyhedral surface orientation can be inferred. In the meantime, the given dimensions of the grid pattern on the Plate are used to estimate the depth information of the polyhedral surfaces. More importantly, we shall solve the noise problem that occurs in the real image by a least squares estimation method and an iterative refinement method based on a geometric constraint criterion. Experiments are conducted to provide practical insight into the method. The experimental results indicate that the method is remarkably accurate and stable.
POLYHEDRAL FACE RECONSTRUCTION AND MODELING FROM A SINGLE IMAGE WITH STRUCTURED LIGHT
(1993-05-01)
CHEN, Z
;
HO, SY
;
TSENG, DC
;
資訊工程學系
;
Department of Computer Science
The determination of the 3-D geometric model of visible polyhedral faces from a single view is addressed. It applies a grid coding technique to derive the normal vector of each visible polyhedral face and the depth parameter of the race equation based on the given dimensions of the grid on the code plate. It is shown that the method is correspondenceless. Furthermore, it also determines the 3-D face model for all visible polyhedral faces including the occlusion relations between faces. Two edge reconstruction methods are given and their goodness are compared. For the determination of the final object model, three different integration methods are given. Some experiments are reported to illustrate the method.